{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "9f2c663c",
      "metadata": {
        "id": "9f2c663c"
      },
      "source": [
        "# Image Segmentation Tutorial"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4df1d160",
      "metadata": {
        "id": "4df1d160"
      },
      "source": [
        "<table align=\"left\">\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/georgia-tech-db/eva/blob/master/tutorials/07-object-segmentation-huggingface.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /> Run on Google Colab</a>\n",
        "  </td>\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://github.com/georgia-tech-db/eva/blob/master/tutorials/07-object-segmentation-huggingface.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /> View source on GitHub</a>\n",
        "  </td>\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://raw.githubusercontent.com/georgia-tech-db/eva/master/tutorials/07-object-segmentation-huggingface.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\" /> Download notebook</a>\n",
        "  </td>\n",
        "</table><br><br>"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "691f5c48",
      "metadata": {
        "id": "691f5c48"
      },
      "source": [
        "### Connect to EvaDB"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "011454cd",
      "metadata": {
        "id": "011454cd",
        "outputId": "3e428ad7-2581-44f2-9b9c-c1485be2d9f6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 kB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m302.0/302.0 kB\u001b[0m \u001b[31m31.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m75.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.2/3.2 MB\u001b[0m \u001b[31m18.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m92.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m295.0/295.0 kB\u001b[0m \u001b[31m31.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for evadb (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading: \"http://ml.cs.tsinghua.edu.cn/~chenxi/pytorch-models/mnist-b07bb66b.pth\" to /root/.cache/torch/hub/checkpoints/mnist-b07bb66b.pth\n",
            "100%|██████████| 1.03M/1.03M [00:01<00:00, 768kB/s]\n",
            "Downloading: \"https://download.pytorch.org/models/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\" to /root/.cache/torch/hub/checkpoints/fasterrcnn_resnet50_fpn_coco-258fb6c6.pth\n",
            "Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8m.pt to 'yolov8m.pt'...\n",
            "100%|██████████| 49.7M/49.7M [00:00<00:00, 189MB/s]\n"
          ]
        }
      ],
      "source": [
        "%pip install --quiet \"evadb[vision,notebook]\"\n",
        "import evadb\n",
        "cursor = evadb.connect().cursor()\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b42c3a7e",
      "metadata": {
        "id": "b42c3a7e"
      },
      "source": [
        "### Download the Videos"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "ee22f577",
      "metadata": {
        "id": "ee22f577",
        "outputId": "a7359bbb-9e7d-49dc-9017-b2d813a073c9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2023-10-11 05:32:13--  https://www.dropbox.com/s/k00wge9exwkfxz6/ua_detrac.mp4?raw=1\n",
            "Resolving www.dropbox.com (www.dropbox.com)... 162.125.5.18, 2620:100:601d:18::a27d:512\n",
            "Connecting to www.dropbox.com (www.dropbox.com)|162.125.5.18|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: /s/raw/k00wge9exwkfxz6/ua_detrac.mp4 [following]\n",
            "--2023-10-11 05:32:13--  https://www.dropbox.com/s/raw/k00wge9exwkfxz6/ua_detrac.mp4\n",
            "Reusing existing connection to www.dropbox.com:443.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://uced138b2fefa483907b6f48fdb9.dl.dropboxusercontent.com/cd/0/inline/CFb4ljcnRdGKLb_OHWKVSAJ7Z1S972p01nmTFtmkJQ1hwkBYmXWtFNIg5Oy3wXh3duAnILDOQyVbVXhvvRWNTGvGBaGFAmkOdJLDVC1inIWLgVE3oEvVbhHVPiM96uPfUM8eYzNm5U0NYM2DUzkGgeX5/file# [following]\n",
            "--2023-10-11 05:32:13--  https://uced138b2fefa483907b6f48fdb9.dl.dropboxusercontent.com/cd/0/inline/CFb4ljcnRdGKLb_OHWKVSAJ7Z1S972p01nmTFtmkJQ1hwkBYmXWtFNIg5Oy3wXh3duAnILDOQyVbVXhvvRWNTGvGBaGFAmkOdJLDVC1inIWLgVE3oEvVbhHVPiM96uPfUM8eYzNm5U0NYM2DUzkGgeX5/file\n",
            "Resolving uced138b2fefa483907b6f48fdb9.dl.dropboxusercontent.com (uced138b2fefa483907b6f48fdb9.dl.dropboxusercontent.com)... 162.125.5.15, 2620:100:601d:15::a27d:50f\n",
            "Connecting to uced138b2fefa483907b6f48fdb9.dl.dropboxusercontent.com (uced138b2fefa483907b6f48fdb9.dl.dropboxusercontent.com)|162.125.5.15|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1661565 (1.6M) [video/mp4]\n",
            "Saving to: ‘ua_detrac.mp4’\n",
            "\n",
            "ua_detrac.mp4       100%[===================>]   1.58M  --.-KB/s    in 0.1s    \n",
            "\n",
            "2023-10-11 05:32:14 (12.2 MB/s) - ‘ua_detrac.mp4’ saved [1661565/1661565]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# # Getting the video files\n",
        "!wget -nc \"https://www.dropbox.com/s/k00wge9exwkfxz6/ua_detrac.mp4?raw=1\" -O ua_detrac.mp4"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6d64d3b6",
      "metadata": {
        "id": "6d64d3b6"
      },
      "source": [
        "### Load sample video from DAVIS dataset for analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "130b8561",
      "metadata": {
        "id": "130b8561",
        "outputId": "29a6f29e-adef-4b07-d5b5-e6bc6795529e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                           0\n",
              "0  Number of loaded VIDEO: 1"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-fdddb8cc-3c6f-462b-b04c-d524a7a37a13\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Number of loaded VIDEO: 1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fdddb8cc-3c6f-462b-b04c-d524a7a37a13')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-fdddb8cc-3c6f-462b-b04c-d524a7a37a13 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-fdddb8cc-3c6f-462b-b04c-d524a7a37a13');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "cursor.query('DROP TABLE IF EXISTS VideoForSegmentation;').df()\n",
        "cursor.query('LOAD VIDEO \"ua_detrac.mp4\" INTO VideoForSegmentation;').df()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c09a40cb",
      "metadata": {
        "id": "c09a40cb"
      },
      "source": [
        "### Register Hugging Face Segmentation Model as an User-Defined Function (UDF) in EvaDB"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "e83e5a44",
      "metadata": {
        "id": "e83e5a44",
        "outputId": "13d747fc-7181-495a-e688-3d89244cbf5b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 208,
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            "d32cbffb7b594a3f8bf02d00963d14a7"
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        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)lve/main/config.json:   0%|          | 0.00/11.6k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "363786bca39040478e19c3a31f63fb7c"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading pytorch_model.bin:   0%|          | 0.00/172M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "5e8cb190cff14c5ba592027d01affcac"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading model.safetensors:   0%|          | 0.00/102M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "bf47e563523440429dedae4f19f2c5a1"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of the model checkpoint at facebook/detr-resnet-50-panoptic were not used when initializing DetrForSegmentation: ['detr.model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked', 'detr.model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'detr.model.backbone.conv_encoder.model.layer1.0.downsample.1.num_batches_tracked', 'detr.model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked']\n",
            "- This IS expected if you are initializing DetrForSegmentation from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing DetrForSegmentation from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)rocessor_config.json:   0%|          | 0.00/273 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "7593c8a43055446d83757ac12891c864"
            }
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          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.\n",
            "The `max_size` parameter is deprecated and will be removed in v4.26. Please specify in `size['longest_edge'] instead`.\n",
            "`label_ids_to_fuse` unset. No instance will be fused.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                0\n",
              "0  Function HFSegmentation added to the database."
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "    </div>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "### Using HuggingFace with EvaDB requires specifying the task\n",
        "### The task here is 'image-segmentation'\n",
        "### The model is 'facebook/detr-resnet-50-panoptic'\n",
        "cursor.query(\"\"\"\n",
        "    CREATE FUNCTION IF NOT EXISTS HFSegmentation\n",
        "    TYPE HuggingFace\n",
        "    TASK 'image-segmentation'\n",
        "    MODEL 'facebook/detr-resnet-50-panoptic';\n",
        "\"\"\").df()"
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    },
    {
      "cell_type": "markdown",
      "id": "7bbd789e",
      "metadata": {
        "id": "7bbd789e"
      },
      "source": [
        "### Run Image Segmentation on the video"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "91bdcaca",
      "metadata": {
        "id": "91bdcaca",
        "outputId": "496e7267-f23a-490b-ea78-b27cd899239c",
        "colab": {
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          "height": 266
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Some weights of the model checkpoint at facebook/detr-resnet-50-panoptic were not used when initializing DetrForSegmentation: ['detr.model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked', 'detr.model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'detr.model.backbone.conv_encoder.model.layer1.0.downsample.1.num_batches_tracked', 'detr.model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked']\n",
            "- This IS expected if you are initializing DetrForSegmentation from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
            "- This IS NOT expected if you are initializing DetrForSegmentation from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
            "Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.\n"
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              "                                               score  \\\n",
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              "\n",
              "                                               label  \\\n",
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              "2  [motorcycle, person, person, car, car, car, pe...   \n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-98ea7695-37f5-45a3-ae96-2af3dbc07394 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "response = cursor.query(\"\"\"\n",
        "    SELECT HFSegmentation(data)\n",
        "    FROM VideoForSegmentation SAMPLE 5\n",
        "    WHERE id < 20\n",
        "\"\"\").df()\n",
        "response"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ffb578ee",
      "metadata": {
        "id": "ffb578ee"
      },
      "source": [
        "### Visualizing output of the Image Segmenter on the video"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "97f13bcf",
      "metadata": {
        "id": "97f13bcf"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "from PIL import Image\n",
        "import matplotlib.patches as mpatches\n",
        "import matplotlib.pyplot as plt\n",
        "import cv2\n",
        "\n",
        "def get_color_mapping(all_labels):\n",
        "    unique_labels = set(label for labels in all_labels for label in labels)\n",
        "    num_colors = len(unique_labels)\n",
        "    colormap = plt.colormaps[\"tab20\"]\n",
        "    colors = [colormap(i % 20)[:3] for i in range(num_colors)]\n",
        "    colors = [tuple(int(c * 255) for c in color) for color in colors]\n",
        "    color_mapping = {label: color for label, color in zip(unique_labels, colors)}\n",
        "    return  color_mapping\n",
        "\n",
        "def annotate_single_frame(frame, segments, labels, color_mapping):\n",
        "    overlay = np.zeros_like(frame)\n",
        "\n",
        "    # Overlay segments\n",
        "    for mask, label in zip(segments, labels):\n",
        "        mask_np = np.array(mask).astype(bool)\n",
        "        overlay[mask_np] = color_mapping[label]\n",
        "\n",
        "    # Combine original frame with overlay\n",
        "    new_frame = Image.blend(\n",
        "        Image.fromarray(frame.astype(np.uint8)),\n",
        "        Image.fromarray(overlay.astype(np.uint8)),\n",
        "        alpha=0.5,\n",
        "    )\n",
        "\n",
        "    return new_frame\n",
        "\n",
        "def annotate_video(segmentations, input_video_path, output_video_path, model_name = 'hfsegmentation'):\n",
        "    all_segments = segmentations[f'mask']\n",
        "    all_labels = segmentations[f'label']\n",
        "\n",
        "\n",
        "    color_mapping = get_color_mapping(all_labels)\n",
        "\n",
        "    vcap = cv2.VideoCapture(input_video_path)\n",
        "    width = int(vcap.get(3))\n",
        "    height = int(vcap.get(4))\n",
        "    fps = vcap.get(5)\n",
        "    fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v') #codec\n",
        "    video=cv2.VideoWriter(output_video_path, fourcc, fps, (width,height))\n",
        "\n",
        "    frame_id = 0\n",
        "    ret, frame = vcap.read()\n",
        "    while ret and frame_id < len(all_segments):\n",
        "        segments = all_segments[frame_id]\n",
        "        labels = all_labels[frame_id]\n",
        "        new_frame = annotate_single_frame(frame, segments, labels, color_mapping)\n",
        "        video.write(np.array(new_frame))\n",
        "        if frame_id % 5 == 0:\n",
        "            legend_patches = [mpatches.Patch(color=np.array(color_mapping[label])/255, label=label) for label in set(labels)]\n",
        "            plt.imshow(new_frame)\n",
        "            plt.legend(handles=legend_patches, bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)\n",
        "            plt.axis('off')\n",
        "            plt.tight_layout()\n",
        "            plt.show()\n",
        "\n",
        "\n",
        "        frame_id += 1\n",
        "        ret, frame = vcap.read()\n",
        "\n",
        "    video.release()\n",
        "    vcap.release()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "2ff7cb5d",
      "metadata": {
        "id": "2ff7cb5d",
        "outputId": "81eab291-b97d-439b-90d5-04be1ad40ab3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 843,
          "referenced_widgets": [
            "c800911f845d4126ba6a33a91d62b91f",
            "b2af80f73e1d4df8a12c7e7ce9cbff2f"
          ]
        }
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Video(value=b'\\x00\\x00\\x00\\x1cftypisom\\x00\\x00\\x02\\x00isomiso2mp41\\x00\\x00\\x00\\x08free\\x00\\x01\\xb5C...')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "c800911f845d4126ba6a33a91d62b91f"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "from ipywidgets import Video\n",
        "input_path = 'ua_detrac.mp4'\n",
        "output_path = 'video.mp4'\n",
        "\n",
        "annotate_video(response, input_path, output_path)\n",
        "Video.from_file(output_path)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7eeeec63",
      "metadata": {
        "id": "7eeeec63"
      },
      "source": [
        "### Drop functions"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "227f96fa",
      "metadata": {
        "id": "227f96fa",
        "outputId": "ac714d16-0c78-4493-dcd8-36f1257f5f8e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                              0\n",
              "0  Function HFSegmentation successfully dropped"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b26172e9-fe72-499a-b0e0-3df98dd5c011\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Function HFSegmentation successfully dropped</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b26172e9-fe72-499a-b0e0-3df98dd5c011')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-b26172e9-fe72-499a-b0e0-3df98dd5c011 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-b26172e9-fe72-499a-b0e0-3df98dd5c011');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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